Command centre
One landing page for the whole transformation: outcomes and return on investment, a digital transformation summary, and the decisions waiting on a person.
modernAIse by AIMETECH · the platform in detail
Everything modernAIse does, on one page.
modernAIse is the transformation platform built by AIMETECH. It gives an organisation a live, integrated view of where it is, what to do next and whether it is moving, and it puts AI specialists to work on that view under human approval. For online retailers it adds a commerce module: marketing, advertising across Google, Meta and Amazon Ads, and corporate gifting, all judged against the store's own orders and margins.
The practice
Visibility before velocity. A loop, not a plug-in.
modernAIse is organised around a five-stage operating loop. Every screen in the platform belongs to one of these stages, and the loop repeats as the organisation changes.
01DiscoverWhere you actually are: pains, constraints and a maturity baseline, captured in conversation.
02DataWhat you already have: your systems connected and turned into one evidence base with lineage.
03AnalyseWhere to act first: readiness scored across dimensions, benchmarked, with the coverage gaps shown.
04modernAIseMake it work, measurably: goals, an operating model and AI specialists acting within agreed authority.
05RepeatSignals, observations and drift feed the next pass. The practice keeps running.
Platform areas
The platform, area by area.
These are the top-level areas of the modernAIse workspace as they appear in the product's own navigation.
Discover, Analyse, Approve & activate
A guided discovery conversation captures pains, constraints and a maturity baseline. Analyse scores readiness by dimension, benchmarks it, shows coverage gaps and the evidence behind each score. Approve turns the result into an activated plan.
Operating model, goals, people, portfolio
The operating model as a blend canvas with pillars and role and process maturity. Goals with a goal thread. People and workforce: stakeholders, roles and transitions, skills, training. Processes, a technology inventory, a portfolio of programmes, delivery streams and investment, scenarios, transformation health and a gap engine.
Decision specialists under human authority
A roster of AI decision specialists, each with a performance record and an explicit authority level. A decision log, an approvals and exceptions queue with handoffs, a specialist library of templates and knowledge, agent operations and an autonomy setting per specialist.
Your data, with lineage
Your data sources, a connector marketplace, REST APIs, webhooks, folder monitoring and file uploads with mapping. Raw ingest is deconstructed into canonical entities, transactions, parties, accounts and events, with a data catalogue, datapoints and lineage, conflict resolution and record matching.
Signals, corrections, reassessment
Signals and observations from the running business, suggestions, course corrections, and a reassessment view that shows drift from the baseline so the loop can start again from evidence.
Commerce module · for online retailers
Marketing, advertising and gifting, judged against real orders.
When a retailer connects its store, modernAIse adds a commerce module. Every recommendation in it is grounded in the store's own orders, margins and stock, and every action waits for a person unless the retailer has explicitly granted autonomy for it.
Operate, configure, understand
- Always-on board: the marketing plays running right now and their state.
- Review & approve: drafts and decisions waiting for a person.
- Broadcasts and broadcast drafts to your email audience.
- Marketing controls and brand settings: audiences, send limits, holdouts, voice.
- Performance, Customer and Products views, including a product scorecard and assortment gaps.
- An operator manual: how to run marketing with the platform.
Google, Meta and Amazon Ads in one view
Spend, revenue, return on ad spend and Amazon TACOS by channel, a campaigns table across channels, a worth-advertising queue and a connect-a-channel marketplace. Detailed below.
Bundles and vendors
- Existing range: the gifting products and bundles already on sale.
- Gifting vendors: the suppliers behind them.
- Bundle studio: compose new bundles from the catalogue with margin and availability in view.
- An operator manual: how to run gifting.
Commerce module · Advertising
Every advertising channel in one view, and a reason for every pound.
modernAIse connects to Google Ads, Meta Ads and Amazon Ads, brings their spend and results together with the store's own orders and margins, and shows which products deserve budget next. Every recommendation comes with its reasoning, and nothing changes in an ad account unless a person approves it.
One view across channels
Spend, attributed revenue and return on ad spend for each channel, side by side, with a campaigns table that runs across all of them. For Amazon, total advertising cost of sales against Amazon channel revenue.
- Daily figures, any window from a week to a year
- Each channel's own numbers, labelled as such
- Connected-but-empty and partial states shown honestly
Worth advertising
A ranked queue of the products in the catalogue that deserve budget, built from the store's own margins, stock and demand rather than from the ad platform's suggestions. Covers Google Shopping and Amazon advertised products.
- Margin and availability before reach
- Products already advertised are shown with their results
- Explains why each product ranks where it does
Decisions you approve
Budget and product recommendations are written down with the evidence behind them and wait for a person. Nothing is changed in a Google, Meta or Amazon account without approval.
- Every recommendation has an audit trail
- Read-only access to Meta and Amazon
- Disconnect any channel at any time
The retailer connects each channel with its own login, through the platform's standard authorisation screen. modernAIse asks for the narrowest permission the platform offers for reading campaign performance. It never sees or stores the ad account password, and access can be revoked from the platform or from modernAIse at any time. Advertising data sits alongside the store's order data in that retailer's own workspace, under UK GDPR and the AIMETECH privacy policy. It is not shared with other customers and it is not sold.
A note on the numbers. Return on ad spend as reported by each platform is measured inside that platform's
own attribution, usually last click. It is not comparable between channels as an incremental return, and
modernAIse says so on the page rather than blending it into one figure.
- Google AdsSearch and Shopping campaigns. Spend, conversions and conversion value by campaign and by advertised product.
- Meta AdsFacebook and Instagram campaigns. Spend, purchases and purchase value at campaign level, as Meta reports them.
- Amazon AdsSponsored Products, Sponsored Brands and Sponsored Display through the Amazon Ads API. Campaign reports and advertised-product reports by ASIN, with TACOS against Amazon sales.
- The storeOrders, margins and stock from Shopify and marketplace channels, so advertising is judged against what it actually sold.
Connectors
Technology-agnostic by design. It integrates with what you already run.
Connectors are a shared library. A workspace connects the ones it uses from the marketplace; anything else arrives through REST APIs, webhooks, folder monitoring or file uploads with mapping.
Commerce and marketing
ShopifyAmazon Selling PartnerGoogle AdsMeta AdsAmazon AdsGoogle Analytics 4KlaviyoMailchimpHubSpotAwinConjuraShipStationDPD
Finance, operations, people
XeroSAP (OData)ServiceNowZendeskWorkdayCourseraLinkedIn Learning
Plus REST APIs, webhooks, folder monitoring and file uploads with mapping for anything not listed.
Governance & settings
Built to be run by a business, not by us.
- AccessUsers and roles, single sign-on, session control, IP allowlist.
- AI models & keysChoose the model, bring your own API keys, set a budget. How the AI works is documented inside the product.
- AuthorityEach AI specialist has an explicit authority level; approvals, exceptions and handoffs are a queue with a person at the end.
- NotificationsPreferences, webhooks and escalation contacts.
- ComplianceCompliance settings, data privacy under UK GDPR, retention rules and a full audit log.
- WorkspaceBranding, billing, experiments, and a Klaviyo augmentation for retailers already on Klaviyo.
Every workspace is isolated at the database row level. Deployment is one customer per environment, with that customer's own data store. The runtime is multi-tenant by design, so isolation is enforced in code and tested, not assumed.
AIMETECH runs modernAIse as a practice with its customers: the platform is powered by AI, built by people who have done this, and designed to work from where the organisation already is.
Talk to us about your organisation, or your channels.
Tell us what you run and what you sell. We will show you modernAIse on your own data.